Abstract: In some embodiments, the present disclosure provides an exemplary method that may include steps of receiving a permission indicator identifying a permission by the first user to detect calls being received by the computing device; receiving an indication of a particular call being received from a second user at a particular phone number; detecting a triggering condition to verify when the particular phone number is associated with the particular entity; instructing the computing device to execute a computer routine to verify when the particular phone number is associated with the particular entity; receiving an indication from the computer routine when the particular phone number is not associated with the particular entity; instructing the computing device to perform at least one security action; and instructing to notify a second computing device associated with the particular entity with information pertaining to the particular call.

Abstract: Disclosed embodiments pertain to protecting sensitive information. A browser extension associated with a web browser can detect a user entering information associated with the user into an electronic form. The browser extension can monitor the user entering sensitive information into the electronic form and detect that the user has entered sensitive information incorrectly. In response, the browser extension can provide a warning to the user that sensitive information has been incorrectly entered. Instructions can be displayed to a user on how incorrectly entered sensitive information is to be corrected. The incorrectly entered sensitive information is corrected based on a response from the user before the sensitive information propagates beyond the electronic form.

Abstract: Disclosed aspects pertain to predicting a likelihood that a user enters sensitive data inappropriately and mitigating such a risk. An electronic form is monitored for user interaction. Non-biometric behavior data can be received or otherwise acquired for the user. A machine learning model can be invoked to determine a likelihood that the user will input sensitive data inappropriately into a form field based on the similarity of user non-biometric behavior data with historic non-biometric behavior data. User assistance, such as a message or warning, can be initiated when the likelihood satisfies a predetermined threshold to mitigate the risk of input of sensitive data inappropriately. The field can also be monitored to detect the presence of inappropriate sensitive data. The user can be prompted to redact or remove the sensitive data if detected.

Abstract: The present invention discloses a computer implemented method for planning a medical logistic support for an operational scenario involving a CBRN event, with implementable plan include medical network laydowns, medical facility, equipment, personnel and medical consumable requirements. The method allow user to generate medical laydowns within a theater, model patient care, and identify the demand for medical care, model casualty transportation requirements, project patient clinical outcomes from the Point of Injury (POI) through evacuation from theater.